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Dampak Kerja Shift dan Tingkat Stres terhadap Kadar Gen Brain-Derived Neurotrophic Factor (BDNF) pada Perawat Selama Pandemi Covid-19 Atthariq; Putri, Maria Eka; Fachri, Muhammad; Akaputra, Risky; Renovaldi, Dede
Majalah Kedokteran Indonesia Vol 75 No 3 (2025): Journal of The Indonesian Medical Association - Majalah Kedokteran Indonesia, Vo
Publisher : PENGURUS BESAR IKATAN DOKTER INDONESIA (PB IDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47830/jinma-vol.75.3-2025-1583

Abstract

Introduction: The project aims to investigate how the Covid-19 epidemic influenced nurses’ stress levels, shift work, and BDNF mRNA expression. Hospitalized patient numbers in Indonesia were rising sharply during the outbreak. This illness has a major impact on nurses’ levels of weariness and stress, which follow each other. High-stress workers have lower serum levels of brain-derived neurotrophic factor (BDNF). Workload, job conflicts, and sleep difficulties are some of the causes that lead to this stress.Methods: The study was conducted at the Cempaka Putih Islamic Hospital in Central Jakarta, Indonesia, from July to September 2020. The study used an analytical observational approach and a cross-sectional design. The number of nurses who participated in this study was 89 people who were selected using This study included 89 nurses who were recruited using a purposive selection technique based on predetermined inclusion and exclusion criteria. Anthropometric measures and intravenous blood collection were used to gather data for real-time PCR analysis of the BDNF gene mRNA expression.Result: The mean BDNF mRNA expression level was 8.93 ng/mL. Nurses reported work-related stress, with a significant correlation (p less than 0.05) between BDNF mRNA expression, work shift, and stress levels. According to the findings, those with low, moderate, and high stress levels had mean BDNF levels of 11.69, 8.65, and 7.36, respectively. Statistical testing revealed a significant difference (p less than 0.001) in the mean mRNA expression of the BDNF gene across subjects with low, moderate, and high stress levels.Conclusion: During the Covid-19 pandemic, a statistical correlation was found between nurse stress levels, work shifts and low BDNF levels.
DESIGN AND BUILD AN IOT-BASED SMART PARKING SYSTEM Mahyul Muna; Atthariq; Muhammad Nasir; Malvina Marchese
Bulletin of Engineering Science, Technology and Industry Vol. 1 No. 4 (2023): December
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v1i4.21

Abstract

A parking area is a place where consumers or the public can park their cars or vehicles in the empty spaces provided in the parking lot. Usually the parking area is filled with quite a lot of vehicles, so it is difficult to find empty parking spaces that are still available in the parking area, due to the density of cars or vehicles passing around the parking area who also want to find empty spaces that are still available to park their cars. This thesis aims to create a parking system that can be monitored via smartphone to determine the availability of parking slots. The parking system uses a raspberry pi microcontroller, an infrared sensor which functions to detect cars entering each parking space, LEDs are used as indicator lights to notify the status of each parking space. The results obtained from system testing are that the system has been successfully implemented as expected based on respondents' responses to the feasibility of an IoT-based intelligent parking system application using questionnaire data from 40 respondents indicating "Strongly Disagree = 0%", "Disagree = 0.5%" , “Neutral = 20.5%”, “Agree = 93.5%”, “Strongly Agree = 88%”. The maximum distance for infrared sensor detection is 80 cm. Meanwhile, the speed of obtaining data values ​​from the sensor also depends on the distance and voltage applied to the sensor.
PROTOTYPE OF AUTOMATIC TEMPERATURE MONITORING AND FEEDING SYSTEM FOR IOT-BASED MILKFISH CULTIVATION Muhammad Ziadul Haikal; Atthariq; Muhammad Nasir
Bulletin of Engineering Science, Technology and Industry Vol. 2 No. 1 (2024): March
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v2i1.27

Abstract

In the livestock industry, feeding work is usually carried out manually or using human power. Delays in feeding fish if farmers leave them for a long time can cause fish growth and endurance to decrease so that production results are unsatisfactory and harvests are delayed. Apart from delays in feeding, pond water temperature also has an important influence on fish growth. Cold or hot temperatures will affect fish production levels. In cultivating milkfish, fish growth conditions will be optimal if the temperature is 30℃ - 33℃. Unstable temperature changes can cause a decrease in water quality, even during the hatching process it can cause fish fry to die. Through this research, a tool was developed that can make the work of fish farmers easier. This tool is designed with a storage bucket as the main material and an Arduino Uno microcontroller circuit. Apart from that, this tool also uses a Thermocouple Temperature Sensor and uses 2 pump motors which function to drain and increase the flow of pond water, and this tool uses a servo motor which is used to control fish feed, this tool also uses an ESP8266 module to connect the network from smartphone to Arduino . The temperature monitoring output will be displayed on Android, users can normalize the water temperature by turning on the two pumps which aim to increase and decrease the water flow, so that the water temperature can be maintained.